most citedInteractive Content Diversity and User Exploration in Online Movie Recommenders: A Field Experiment

14 citations · 31 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC202314 cited

Interactive Content Diversity and User Exploration in Online Movie Recommenders: A Field Experiment

Ruixuan Sun, Avinash Akella, Ruoyan Kong +2

Recommender systems often struggle to strike a balance between matching users' tastes and providing unexpected recommendations. When recommendations are too narrow and fail to cove…

cs.HC20233 cited

Towards an Effective Organization-Wide Bulk Email System

Ruoyan Kong

Bulk email is widely used in organizations to communicate messages to employees. It is an important tool in making employees aware of policies, events, leadership updates, etc. How…

cs.HC20232 cited

Organizational Bulk Email Systems: Their Role and Performance in Remote Work

Ruoyan Kong, Haiyi Zhu, Joseph A. Konstan

The COVID-19 pandemic has forced many employees to work from home. Organizational bulk emails now play a critical role to reach employees with central information in this work-from…

cs.HC20234 cited

Getting the Most from Eye-Tracking: User-Interaction Based Reading Region Estimation Dataset and Models

Ruoyan Kong, Ruixuan Sun, Charles Chuankai Zhang +4

A single digital newsletter usually contains many messages (regions). Users' reading time spent on, and read level (skip/skim/read-in-detail) of each message is important for platf…

cs.IR20238 cited

HierCat: Hierarchical Query Categorization from Weakly Supervised Data at Facebook Marketplace

Yunzhong He, Cong Zhang, Ruoyan Kong +5

Query categorization at customer-to-customer e-commerce platforms like Facebook Marketplace is challenging due to the vagueness of search intent, noise in real-world data, and imba…